pllm
Research

R16: Practical Secure Delegated Linear Algebra with Trapdoored Matrices

This work uses trapdoored pseudorandom matrices for efficient delegated linear algebra under an LPN-based approach. PLLM status: tracked.

PLLM documentationView Markdown ↗

Status: tracked
Year: 2025
Authors: Mark Braverman, Stephen Newman
External source: Practical Secure Delegated Linear Algebra with Trapdoored Matrices

Source contribution

This work uses trapdoored pseudorandom matrices for efficient delegated linear algebra under an LPN-based approach.

PLLM perspective

Implement the paper-specific matrix/trapdoor generation and delegation protocol before attempting a setup adaptation. State who knows each operand and each trapdoor.

Identified as a lead previously; not executed in the supplied archives.

This paper remains tracked. Named modules below are implementation targets, not finished PLLM components; no reproduction, integration, assurance, or matched benchmark is claimed.

The source's boundary remains binding: Public low-rank masks leak nullspace projections. This construction must not be approximated by an unproven structured mask.

PLLM modules and documentation

Target module identifiers: prepare.trapdoored_matrix, protocol.delegated_linear. These identifiers describe scoped work unless this page explicitly links an implementation source. Dependencies: None.

Backlog

This source is assigned to reimplementation priority 1, Delegated matrix-vector execution. Its source-registry order is 16. Follow current gates and unfinished work in the research backlog.

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